Lei Wu

SILICA-SNC transforms whole brain tractography into a network representation, revealing organized white matter architecture and coupling patterns.

This paper introduces a dynamic fusion framework to integrate structural and functional connectivity data, revealing differences between schizophrenia patients and controls.

SILICA decomposes white matter tractograms into population-level statistical components while preserving individual streamline geometry, revealing recognizable brain systems and enabling trajectory-resolved visualization.

STRiDE improves dynamic brain state estimation by integrating structural and functional connectivity, revealing disruptions in schizophrenia.

The paper presents a WM intrinsic connectivity network template derived from 100,000 fMRI scans, showing distinct WM and GM networks with task-related activity and differences in schizophrenia.

This paper introduces joint cmICA, a method that integrates structural and functional brain connectivity data to simultaneously parcellate and link cortical regions using MRI data.